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Transforming how we produce statistics – an inside perspective Michelle Feyen Statistics New Zealand October 2014.

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Presentation on theme: "Transforming how we produce statistics – an inside perspective Michelle Feyen Statistics New Zealand October 2014."— Presentation transcript:

1 Transforming how we produce statistics – an inside perspective Michelle Feyen Statistics New Zealand October 2014

2 Outline Statistics 2020 Micro-Economic Platform Standardising Automation Culture Collaborative team Benefits Challenges Ongoing work 2

3 Statistics 2020 – Te Kāpehu Whetū Organisation-wide business transformation programme Increase our relevance to government and public Reduce the cost of producing statistical outputs 3

4 Micro-Economic Platform Progamme of work IT system Migration of surveys to platform Support of surveys already on platform Development of platform Store and process data on the same system Integrated data warehouse Standard statistical analysis tools Reports 4

5 Timeline 5 2009 -IR10 Tax 2009 -IR10 Tax 2010 -GST Tax 2010 -GST Tax 2011 -Overseas Trade 2011 -Overseas Trade 2012 - Manufacturing - Wholesale 2012 - Manufacturing - Wholesale 2013 -Agriculture -Annual Enterprise 2013 -Agriculture -Annual Enterprise 2014 -Business Register -Update Surveys -Buildings -Retail Trade 2014 -Business Register -Update Surveys -Buildings -Retail Trade

6 Standardising Set of standard tools BANFF – Statistics Canada Quality Stage Generic Edit and Imputation Workflow Standard set of steps to follow Configuration visible to analysts 6

7 7

8 Configuration 8

9 Automation Increased efficiency Understand structure and relationships of data Analysts can focus on more complex issues Consistent, repeatable processes 9

10 Example – Annual Enterprise Survey 10

11 Culture Transforming the way we work New system is a powerful driver for change Environment that allows for innovation Culture change initiative 11

12 Collaborative team Key to successful migrations Platform team Configuration experts Methodologists Business analysts Developers Testers Subject matter experts Co-location 12

13 Benefits More automation Analysts doing less processing Only one system to learn Standard set of tools Shared functionality between collections Efficiency gains Easy to build new configurations, transparent 13

14 Challenges Standardising very different collections Matching old system results with new system Fully understanding current business processes 14

15 Challenges Constructively engaging with survey teams Achieving expected efficiencies Changing the way analysts view the data 15

16 Timeline – ongoing work 16 2011 -Overseas Trade 2011 -Overseas Trade 2012 - Manufacturing - Wholesale 2012 - Manufacturing - Wholesale 2013 -Agriculture -Annual Enterprise 2013 -Agriculture -Annual Enterprise 2014 -Business Register -Update Surveys -Buildings -Retail Trade 2014 -Business Register -Update Surveys -Buildings -Retail Trade 2015 -Accommodation -Statistical Architecture for Economic Statistics 2015 -Accommodation -Statistical Architecture for Economic Statistics

17 Thank you IAOS IOS Press Michelle.Feyen@stats.govt.nz 17


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